2 citations · 4 across the 4 of their papers we have counts for
4 papers
Impact of Batch Normalization on Convolutional Network Representations
Hermanus L. Potgieter, Coenraad Mouton, Marelie H. Davel
Batch normalization (BatchNorm) is a popular layer normalization technique used when training deep neural networks. It has been shown to enhance the training speed and accuracy of…
Neural Network-based Vehicular Channel Estimation Performance: Effect of Noise in the Training Set
Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel
Vehicular communication systems face significant challenges due to high mobility and rapidly changing environments, which affect the channel over which the signals travel. To addre…
A Data Pilot-Aided Temporal Convolutional Network for Channel Estimation in IEEE 802.11p Vehicle-to-Vehicle Communications
Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. Davel
In modern communication systems, having an accurate channel estimator is crucial. However, when there is mobility, it becomes difficult to estimate the channel and the pilot signal…
Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset
Simon P. Ramalepe, Thipe I. Modipa, Marelie H. Davel
Due to the scarcity of data in low-resourced languages, the development of language models for these languages has been very slow. Currently, pre-trained language models have gaine…